The Questions Changed Before the Market Did

by John LaCorte | Strategic Partnership

I started changing my China sourcing strategy before tariffs forced me to.

In 2017, conversations with factory owners in Taiwan and China began to change. They were asking what would happen if duties increased, whether production could move and whether customer contracts allowed for price adjustments.

Those were different questions than I had been hearing.

I didn’t have access to better government intelligence. I had people inside the supply chain starting to think differently about what might happen next.

As U.S.-China trade actions expanded and duties increased, those conversations proved useful. I had already started looking at production flexibility, cost exposure and alternatives outside China.

It reinforced something I had learned over years of working in global manufacturing: changes often become visible in conversations before they appear in reports.

Your Network Can Be an Early Warning System

I use my network to solve problems, but I also pay attention to what people are seeing before there is a problem to solve.

Suppliers in Asia see changes in capacity, labor, materials and customer demand early. Engineers see manufacturing constraints before they become delivery problems. Customers may start asking different questions before their buying patterns change.

I don’t call people and ask them for market intelligence. These are relationships built over years. We talk regularly, and information comes out of those conversations naturally.

The value is context from people working inside the market every day.

Pay Attention When the Questions Change

When several people in different parts of a supply chain start asking similar questions, I pay attention.

A supplier asking whether you can absorb a price increase may be dealing with a change in its cost structure. A customer suddenly focused on lead times may be concerned about demand or availability.

Sometimes the questions sound hypothetical.

“What if we had to move production?”

“How would a 30-day delay affect your release schedule?”

People may be testing scenarios because something they are seeing has changed.

One question usually doesn’t tell me much. Hearing variations of the same question from several people does.

Confirm What You Are Hearing

I don’t treat everything I hear as fact.

Suppliers have their interests. Customers have theirs. Factories, distributors, freight companies and manufacturers each see a different part of the market.

I compare what I’m hearing across those groups.

A factory may see capacity tightening. A distributor may see inventory moving faster. A customer may start asking about lead-time protection. If those conversations begin pointing in the same direction, I look deeper.

I also consider who is talking. Someone who has worked through several supply-chain cycles brings context that someone experiencing the same issue for the first time may not have.

Experience helps you decide what deserves another phone call.

How It Changed My Approach to Sourcing

During the pandemic and the supply-chain disruption that followed, I was talking with people managing LED drivers, aluminum extrusions, semiconductors, freight and finished goods.

I kept hearing similar concerns about cost, lead times and concentration in China.

That changed how I negotiated and planned. I looked harder at longer-term commitments and paid more attention to production outside China, including Vietnam and Mexico. I also began looking beyond unit cost when evaluating sourcing decisions. Supply continuity and flexibility had to be part of the calculation.

That thinking became useful again when Red Sea disruptions affected shipping routes in late 2023 and 2024. It remains relevant as U.S. trade policy continues to change across countries, products and supply chains.

Having alternatives gives you more room to respond when conditions change.

The Time I Missed the Signal

I learned this lesson from the other direction years ago with a supplier we had used for a long time.

Quality was good. Pricing was fair. We knew the company well.

Then their questions changed.

They wanted different payment terms. They asked about smaller batch sizes. They wanted to know whether we could accept longer lead times.

I assumed we were negotiating.

I missed what was happening.

They were dealing with cash-flow pressure and component availability. By the time I understood the situation, they had allocated capacity elsewhere.

We moved production to a backup supplier and took a six-week delay that we could have reduced, and possibly avoided, if I had recognized the pattern earlier.

The information had been there. I hadn’t connected it.

Relationships Create Better Information

A large contact list by itself isn’t particularly valuable.

The people who have given me the most useful market information are people I’ve known for years. We stay in contact when there is no transaction on the table. I share information when it can help them, and they do the same.

That history creates trust.

If every conversation is about getting something from someone, you lose much of the context that makes the relationship useful.

I don’t think of these people as sources. They are people I’ve worked with and stayed connected to over time. The information comes from those relationships.

What I Have Learned

Market intelligence doesn’t always arrive in a report.

Sometimes it starts with a supplier asking a question you haven’t heard before. A customer suddenly changes what matters in a negotiation. An engineer mentions the same constraint you heard from a factory two weeks earlier.

Any one of those conversations may mean very little.

When I hear the same concern from different parts of the market, I start asking more questions.

Years of relationships make those conversations possible. The rest comes down to paying attention and knowing when something deserves a closer look.

I would rather investigate an early signal that turns out to be nothing than recognize an important shift after everyone else can already see it in the data.